PolyU-CBS在TSAR-2022共享任务:一种简单的、基于秩的两步复杂单词替换方法

Emmanuele Chersoni, Yu-Yin Hsu
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引用次数: 3

摘要

在本文中,我们描述了我们在文本简化、可访问性和可读性研讨会(TSAR-2022)上提出的关于英语、葡萄牙语和西班牙语词汇简化的共享任务的系统。我们分两步提出了一种无监督的方法:首先,我们使用对每种语言进行单词屏蔽的屏蔽语言模型来提取替换困难单词的可能候选词;其次,我们根据三个不同的基于transformer的指标对候选对象进行排名。最后,我们根据不同指标的最低平均排名确定候选名单。
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PolyU-CBS at TSAR-2022 Shared Task: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps
In this paper, we describe the system we presented at the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) regarding the shared task on Lexical Simplification for English, Portuguese, and Spanish. We proposed an unsupervised approach in two steps: First, we used a masked language model with word masking for each language to extract possible candidates for the replacement of a difficult word; second, we ranked the candidates according to three different Transformer-based metrics. Finally, we determined our list of candidates based on the lowest average rank across different metrics.
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